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Paper Citation Record · LEDGER

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2508.04472.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.04472 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:04:33.385686Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38fa4ede-de7b-4634-9918-0cfa2e2b0769 · outbound

This paper cites inappropriateness.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model inappropriateness

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.956210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:32.942080Z digest=sha256:7adaeacb1e6f948fd8f341a56fc798246bcf36502f4621140c4b834890293c84

Observation 5aef5f45-0039-40ff-9d45-6f36f34d530e · outbound

This paper cites explicitly.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model explicitly

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.783161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:33.011987Z digest=sha256:75114d866d6d18982766717e1db604cc25f45734a9c969c6a9fe4fdb57b1c5b1

Observation 74d3a421-b701-4239-93a9-2f6db949b9a3 · outbound

This paper cites GPT-4o System Card.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model GPT-4o System Card

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.157566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.157566Z digest=sha256:beca9cec70193962e1261c2e6034d41a17734800786f153d9ca8151114111893

Observation 0a85b122-2d3f-4446-9d47-f6cb91d34eba · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Ablating concepts in text-to-image diffusion models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.221986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.221986Z digest=sha256:8a78d47c0a8d718d69c1602685e0970d02fdc616406f1b270d07462ee2ac255b

Observation 5e28f2d4-e2e1-46a2-a19d-d269670b676c · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.410648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.410648Z digest=sha256:d388484906dc678eca76c53a484275bde09a45a723cf131c3536fbebe05b405c

Observation 90b66d53-051e-443c-8811-51c3df87e4ca · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Red-Teaming the Stable Diffusion Safety Filter

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.495158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.495158Z digest=sha256:c55ee21f61963448c09db70435232bad445449436564f8ddbb0d000a41438794

Observation 8438cec5-f06b-4d43-af8d-f7f99d007544 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.555623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.555623Z digest=sha256:60c442fb66cd66fe5e1810d94edce1d6e89746846d36093712ad5aedc7e41206

Observation cc35b63b-2086-48cf-80ed-abda10d1cfd5 · outbound

This paper cites Ai art generators hit with copyright suit over artists’ images.Bloomberg Law.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Ai art generators hit with copyright suit over artists’ images.Bloomberg Law

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:35.010474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:32.624123Z digest=sha256:d284513c5558e6b0cc5ae7a274230e728f4f31453bc489ee267865ce18582381

Observation f3358937-ade9-465e-965a-757547cebbf5 · outbound

This paper cites Precise parameter localization for textual generation in diffusion models.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Precise parameter localization for textual generation in diffusion models

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-06T00:04:33.673400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:32.708765Z digest=sha256:74364d5407fa38d1a8911c8838f67c8a48011e5e4db7cabf41a472177cbf874b

Observation 0846d15f-5415-43d6-b121-052f2950a36a · outbound

This paper cites SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.749794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.749794Z digest=sha256:146f3a2efc4810299be6790d0f612aae0b7aa131f43a0182557953be8a67d202

Observation fecf627d-9ca0-4a19-aa00-9b2fde895117 · outbound

This paper cites 3 is non-zero in general, i.e., for almost all X ̸= Y.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model 3 is non-zero in general, i.e., for almost all X ̸= Y

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:35.002342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:32.893182Z digest=sha256:30a50e5713c1714fc01d551f0254d0822a290ac3c8975f854482639466f958dd

Observation 5c54cca7-61bf-486d-a9f5-89f6660f5604 · outbound

This paper cites (b) More qualitative results for implicit nudity erasure.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model (b) More qualitative results for implicit nudity erasure

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.562351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:33.119217Z digest=sha256:b8d961a9884c12e2977ad9346fd1d4c5dc999619e1d0277d8ec9add8f18bcaf1

Observation 2a432c78-2739-4860-9598-3b557c861d69 · outbound

This paper cites We used the official diffusers implementation of Ablating Concepts (AC) Kumari et al.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model We used the official diffusers implementation of Ablating Concepts (AC) Kumari et al

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.340630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:33.197381Z digest=sha256:8cce3004144d33e45edebf633a76f65269ab4f5fa36c5019d59e6d3bee4d6c0c

Observation 34780de4-24fc-4401-b3f2-7b4e51c2fc4f · outbound

This paper cites (2018), anchor CLIP Radford et al.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model (2018), anchor CLIP Radford et al

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.236187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:33.276114Z digest=sha256:5f44218df071eddf86effdb589aa042da455c61f83f61fb6e181390bd5225da1

Observation bd00ceb1-e61e-411a-8187-4c2f1f819b29 · outbound

This paper cites Pikachu”, “Minions.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Pikachu”, “Minions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:04:34.068072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:04:33.385686Z digest=sha256:f58ef9372495f8b0c5f2b1e2fc30e3f7bf9a15e875c19b95c586325bc1d56a4d

Observation f48d25c0-f060-4fb6-8667-026af24bb107 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.371883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.371883Z digest=sha256:219c4b5ab93f45a5e9b80510bb658fc0ae601a977228b2486e44265461214deb

Observation 67112434-b72d-4562-a2f5-1f22bf336414 · outbound

This paper cites Demystifying MMD GANs.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Demystifying MMD GANs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.018102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.018102Z digest=sha256:9194394f6fe298fa0da41835c87501f30ec5098e3f594953bb8f7c2d0b868140

Observation 7235f01d-ba09-49de-a38a-6496680f10d2 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.077010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.077010Z digest=sha256:59710ae8048aa2d686c991c93232c20e63180aef79c2f7dbab35241e359ec372

Observation 2c517ff5-5419-457a-a318-b2c96d8ae3b0 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.821331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.821331Z digest=sha256:78621be4dc55b9d2b1899d9a23fb8d98d6b085b5310ee90cddb20e3dbac37fe1

Observation 1168686a-667c-4a85-a212-e8700a9c67fe · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T00:04:32.288783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:04:32.288783Z digest=sha256:3052d621cd3c7ed42b5bb0670a63abef16dd5eb7493dc86b0de7e60767096fd6

Pith citing papers

No inbound Pith citation observations are available.